#  Copyright 2022 Deep Learning on Flink Authors
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
import torch
from torch import nn


class LinearModel(nn.Module):

    def __init__(self, col_num):
        super().__init__()
        self.linear = nn.Linear(col_num, 1, dtype=torch.float32)

    def forward(self, *xs):
        x = torch.cat(xs, dim=1)
        return self.linear(x)
